Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
Forbes

AI Inferencing Is Growing In Importance—And RAG Is Fueling Its Rise

As the AI infrastructure market evolves, we’ve been hearing a lot more about AI inference—the last step in the AI technology infrastructure chain to deliver fine-tuned answers to the prompts given to ...
Yahoo Finance

Striim Announces Neon Serverless Postgres Support to Broaden Agentic AI Use Cases with Databricks

PALO ALTO, Calif., June 12, 2025 (GLOBE NEWSWIRE) -- Applications in the AI era depend on real-time data, but data ingestion and integration from legacy architectures often hold them back. Traditional ...
Techzine Europe

RAG ‘2.0’: the Instructed Retriever links AI agents to the right data

The Instructed Retriever is set to replace RAG on a large scale. Databricks sees a 70 percent improvement with the ...

Want AI agents to work better? Improve the way they retrieve information, Databricks says

The idea of the Instructed Retriever architecture is that it turns these implied conditions into explicit search parameters.

Six data shifts that will shape enterprise AI in 2026

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI deployments. At the beginning of the modern generative AI era, purpose-built ...